Systems | Development | Analytics | API | Testing

Within the realms of microservices and distributed systems, gRPC has emerged as a cornerstone technology. Its adoption by tech giants like Google, Netflix, and Square underscores its capability to facilitate high-performance, scalable inter-service communication. Built as a modern take on the traditional Remote Procedure Call (RPC) paradigm, gRPC enables services, potentially written in different languages, to communicate efficiently and reliably across networks.

Enterprise organizations rarely operate with a single API gateway. As business units adopt technologies independently, it is common to find, for example, Kong in one domain, AWS API Gateway in another, and additional platforms elsewhere. This flexibility drives velocity—but it also fragments visibility. Without a unified view of API activity, enterprise teams face inconsistencies in reporting, gaps in customer insights, and difficulty enforcing governance policies.

In the SaaS world, providers must offer tenant isolations for their customers and their data. This is a key requirement when offering services at scale. At Kong, we've invested a lot of time to provide a scalable and seamless approach for developers to avoid introducing breaches in our systems. In this article, we'll explore the challenges of tenant scoping and how we address them effectively.

DreamFactory simplifies API management with powerful logging tools that boost security, track performance, and ensure compliance. Here's what you need to know: With DreamFactory, you can set up production-ready APIs with detailed logging in just 5 minutes, saving time and costs while maintaining robust security and performance.

Efficient management and updating of configuration files is essential in modern software settings, particularly when these files are stored on cloud storage services such as AWS S3. There are a number of issues associated with this process, such as maintaining data integrity, reducing downtime, and maximizing network and storage use.

Back in our college days, we studied about the Software Development Life Cycle (SDLC), right? In that, we learned about various software methodologies like the Waterfall model, Agile, etc. We also learned how these methodologies help us deliver software quickly. Rapid Application Development is one such methodology we forgot to study in college – no worries, now you can understand what exactly Rapid Application Development is and how it helps you and your business.

The Model Context Protocol (MCP) has taken the internet by storm by rapidly becoming the standard for Large Language Models (LLMs) to communicate with external data sources or tools. MCP provides a structured way to fetch data and trigger workflows through APIs and functions. However, with great power comes great responsibility.

AI has become the talk of the town nowadays, right? There are tons of AI tools available for different tasks, and new advancements are coming up daily like vibe coding. But how do you actually do vibe coding? Or how do you try out these models? You could use tools like ChatGPT or Claude, but they come with restrictions, and you often need to pay to access full features. What if you don’t want your data to become part of their training models? That’s where open source coding models come in.